Table 3.
Power of ICPT1, ICPT2, 4 df case-only LRT, maximum marginal trend test, LD test (Zhao et al, 2006), and LRT based on logistic regression model. ICPT1 uses analytical formula for weights. ICPT2 uses empirical weights. For each locus, the score maximizing trend test statistics for marginal effect is used for the score of the trend test for testing interaction. The simulations were done using 5000 cases, and 5000 controls and 5000 cases for the logistic regression test. The significance levels used are 0.05, 0.01, and 0.001.
| Model | ICPT1 | ICPT2 | LRT | Trend test | LD test | Logistic regression | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||||||||||
| .05 | .01 | .001 | .05 | .01 | .001 | .05 | .01 | .001 | .05 | .01 | .001 | .05 | .01 | .001 | .05 | .01 | .001 | |
| Null | .039 | .008 | .001 | .050 | .010 | .001 | .051 | .009 | .001 | .051 | .011 | .001 | .049 | .009 | .001 | .050 | .010 | .001 |
| D∪D | .746 | .524 | .268 | .781 | .564 | .301 | .723 | .489 | .238 | .604 | .431 | .230 | .610 | .380 | .158 | .414 | .203 | .062 |
| R∪R | .828 | .641 | .371 | .850 | .678 | .404 | .807 | .602 | .338 | .893 | .749 | .498 | .721 | .483 | .227 | .444 | .229 | .073 |
| D∪R | .770 | .556 | .296 | .806 | .604 | .338 | .752 | .527 | .271 | .744 | .575 | .346 | .641 | .408 | .177 | .421 | .209 | .064 |
| D∩D | .726 | .507 | .249 | .762 | .552 | .278 | .709 | .477 | .225 | .836 | .658 | .396 | .581 | .344 | .130 | .419 | .208 | .064 |
| R∩R | .815 | .620 | .343 | .839 | .656 | .381 | .798 | .595 | .322 | .707 | .546 | .337 | .706 | .464 | .212 | .444 | .226 | .075 |
| R∩D | .791 | .582 | .314 | .820 | .625 | .352 | .765 | .547 | .285 | .771 | .605 | .363 | .664 | .424 | .180 | .432 | .217 | .072 |
| Threshold | .213 | .080 | .015 | .253 | .096 | .022 | .321 | .145 | .036 | .163 | .055 | .011 | .192 | .068 | .015 | .176 | .056 | .011 |